Package: gpxviewer-hg
Version: 136rev6eb0d96d9a53-0
Architecture: all
Maintainer: Sergey Salnikov <salsergey@gmail.com>
Installed-Size: 1680
Depends: python3-pyqt5, python3-qcustomplot-pyqt5, python3-lxml
Conflicts: gpxviewer-stable
Filename: ./all/gpxviewer-hg_136rev6eb0d96d9a53-0_all.deb
Size: 186444
MD5sum: 60611d987a657867dfa0e7a9bed9b520
SHA1: cdf92ac94c6c8ca3c1e0d477b6df4ec1e7c08146
SHA256: f3ae6037eabe406fe94585e9fbab874c2aabd5cd0b3aa5605a3a07ccde0ff402
Section: unknown
Priority: optional
Description: GPX Viewer
 GPX Viewer is an application for viewing GPX files as a list of points. It also allows one to draw a configurable track profile.

Package: gpxviewer-stable
Version: 2.4.1-1
Architecture: all
Maintainer: Sergey Salnikov <salsergey@gmail.com>
Installed-Size: 1679
Depends: python3-pyqt5, python3-qcustomplot-pyqt5, python3-lxml
Filename: ./all/gpxviewer-stable_2.4.1-1_all.deb
Size: 185744
MD5sum: eb80d4f73dababb55e7f637b4798bbca
SHA1: 2cf1388de41ca9d7d74ac348ec227255f7afdfd7
SHA256: d46b0dd0d9ab5cb194766b5e6e5f46b4508319dbf37b0a4e46edff3407f1d435
Section: unknown
Priority: optional
Description: GPX Viewer
 GPX Viewer is an application for viewing GPX files as a list of points. It also allows one to draw a configurable track profile.

Package: python3-qcustomplot-pyqt5
Source: python-qcustomplot-pyqt
Version: 2.1.1.1-1
Architecture: amd64
Maintainer: Sergey Salnikov <salsergey@gmail.com>
Installed-Size: 2815
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libqt5core5a (>= 5.15.1), libqt5gui5 (>= 5.3.0) | libqt5gui5-gles (>= 5.3.0), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 5), python3-pyqt5
Filename: ./amd64/python3-qcustomplot-pyqt5_2.1.1.1-1_amd64.deb
Size: 601772
MD5sum: 9d759eeb35844353e232229aef0f26fd
SHA1: 117c0e81de44ddc4a480f9aa058db032fc4c8b2a
SHA256: 7bb1da3402893b6f8f4eb20f31097a6512b44641babfa93f0ca6749eca287f7f
Section: unknown
Priority: optional
Description: QCustomPlot
 QCustomPlot is a Qt C++ widget for plotting and data visualization. It has no further dependencies and is well documented. This plotting library focuses on making good looking, publication quality 2D plots, graphs and charts, as well as offering high performance for realtime visualization applications. Have a look at the Setting Up and the Basic Plotting tutorials to get started.